Open AccessUNMANNED AERIAL VEHICLES TRAJECTORY ANALYSIS CONSIDERING MISSING DATA
Author(s) -
Wang Bo,
Volodymyr Kharchenko,
Alexander Kukush,
Nataliia Kuzmenko
Publication year - 2019
Publication title -
transport
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 31
eISSN - 1648-4142
pISSN - 1648-3480
DOI - 10.3846/transport.2019.8544
Subject(s) - trajectory , computer science , range (aeronautics) , position (finance) , missing data , data collection , data mining , engineering , aerospace engineering , mathematics , statistics , machine learning , physics , finance , astronomy , economics
Researches very often deal with the problem of missing data. This issue is caused by impossibility of data obtaining, its distortion or concealment. The goal of present paper is to recover missing data and to analyse Unmanned Aerial Vehicles (UAV) trajectory based on the degree of deviation from pre-planned trajectory. The range probability approach is used to assess flight situation. The results of trajectory analysis for real position data of UAV are demonstrated.
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